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1.
Malar J ; 21(1): 15, 2022 Jan 06.
Article in English | MEDLINE | ID: mdl-34991611

ABSTRACT

BACKGROUND: The eukaryotic parasite Plasmodium falciparum causes millions of malarial infections annually while drug resistance to common anti-malarials is further confounding eradication efforts. Translation is an attractive therapeutic target that will benefit from a deeper mechanistic understanding. As the rate limiting step of translation, initiation is a primary driver of translational efficiency. It is a complex process regulated by both cis and trans acting factors, providing numerous potential targets. Relative to model organisms and humans, P. falciparum mRNAs feature unusual 5' untranslated regions suggesting cis-acting sequence complexity in this parasite may act to tune levels of protein synthesis through their effects on translational efficiency. METHODS: Here, in vitro translation is deployed to compare the role of cis-acting regulatory sequences in P. falciparum and humans. Using parasite mRNAs with high or low translational efficiency, the presence, position, and termination status of upstream "AUG"s, in addition to the base composition of the 5' untranslated regions, were characterized. RESULTS: The density of upstream "AUG"s differed significantly among the most and least efficiently translated genes in P. falciparum, as did the average "GC" content of the 5' untranslated regions. Using exemplars from highly translated and poorly translated mRNAs, multiple putative upstream elements were interrogated for impact on translational efficiency. Upstream "AUG"s were found to repress translation to varying degrees, depending on their position and context, while combinations of upstream "AUG"s had non-additive effects. The base composition of the 5' untranslated regions also impacted translation, but to a lesser degree. Surprisingly, the effects of cis-acting sequences were remarkably conserved between P. falciparum and humans. CONCLUSIONS: While translational regulation is inherently complex, this work contributes toward a more comprehensive understanding of parasite and human translational regulation by examining the impact of discrete cis-acting features, acting alone or in context.


Subject(s)
5' Untranslated Regions , Plasmodium falciparum/genetics , RNA, Messenger/genetics , RNA, Protozoan/genetics , Base Sequence , Humans
2.
PLoS Comput Biol ; 17(8): e1009257, 2021 08.
Article in English | MEDLINE | ID: mdl-34370724

ABSTRACT

Manual microscopic inspection of fixed and stained blood smears has remained the gold standard for Plasmodium parasitemia analysis for over a century. Unfortunately, smear preparation consumes time and reagents, while manual microscopy is skill-dependent and labor-intensive. Here, we demonstrate that deep learning enables both life stage classification and accurate parasitemia quantification of ordinary brightfield microscopy images of live, unstained red blood cells. We tested our method using both a standard light microscope equipped with visible and near-ultraviolet (UV) illumination, and a custom-built microscope employing deep-UV illumination. While using deep-UV light achieved an overall four-category classification of Plasmodium falciparum blood stages of greater than 99% and a recall of 89.8% for ring-stage parasites, imaging with near-UV light on a standard microscope resulted in 96.8% overall accuracy and over 90% recall for ring-stage parasites. Both imaging systems were tested extrinsically by parasitemia titration, revealing superior performance over manually-scored Giemsa-stained smears, and a limit of detection below 0.1%. Our results establish that label-free parasitemia analysis of live cells is possible in a biomedical laboratory setting without the need for complex optical instrumentation. We anticipate future extensions of this work could enable label-free clinical diagnostic measurements, one day eliminating the need for conventional blood smear analysis.


Subject(s)
Malaria, Falciparum/parasitology , Parasitemia/diagnosis , Parasitemia/parasitology , Plasmodium falciparum/classification , Plasmodium falciparum/cytology , Computational Biology , Deep Learning , Diagnosis, Computer-Assisted , Erythrocytes/parasitology , Humans , Image Interpretation, Computer-Assisted , Malaria, Falciparum/diagnostic imaging , Microscopy, Ultraviolet/instrumentation , Microscopy, Ultraviolet/methods , Neural Networks, Computer , Parasitemia/diagnostic imaging , Plasmodium falciparum/growth & development
4.
J Microbiol ; 52(9): 743-54, 2014 Sep.
Article in English | MEDLINE | ID: mdl-25224505

ABSTRACT

Mycobacterium tuberculosis possesses a proteasome system that is required for the microbe to resist elimination by the host immune system. Despite the importance of the proteasome in the pathogenesis of tuberculosis, the molecular mechanisms by which proteasome activity is controlled remain largely unknown. Here, we demonstrate that the α-subunit (PrcA) of the M. tuberculosis proteasome is phosphorylated by the PknB kinase at three threonine residues (T84, T202, and T178) in a sequential manner. Furthermore, the proteasome with phosphorylated PrcA enhances the degradation of Ino1, a known proteasomal substrate, suggesting that PknB regulates the proteolytic activity of the proteasome. Previous studies showed that depletion of the proteasome and the proteasome-associated proteins decreases resistance to reactive nitrogen intermediates (RNIs) but increases resistance to hydrogen peroxide (H2O2). Here we show that PknA phosphorylation of unprocessed proteasome ß-subunit (pre-PrcB) and α-subunit reduces the assembly of the proteasome complex and thereby enhances the mycobacterial resistance to H2O2 and that H2O2 stress diminishes the formation of the proteasome complex in a PknA-dependent manner. These findings indicate that phosphorylation of the M. tuberculosis proteasome not only modulates proteolytic activity of the proteasome, but also affects the proteasome complex formation contributing to the survival of M. tuberculosis under oxidative stress conditions.


Subject(s)
Bacterial Proteins/metabolism , Gene Expression Regulation, Bacterial , Mycobacterium tuberculosis/enzymology , Mycobacterium tuberculosis/metabolism , Proteasome Endopeptidase Complex/metabolism , Protein Processing, Post-Translational , Protein Serine-Threonine Kinases/metabolism , Subtilisins/metabolism , Hydrogen Peroxide/metabolism , Phosphorylation , Proteolysis , Threonine/metabolism
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